{"id":"W2044413444","doi":"10.1080/02726340500214886","title":"Analysis and Reduction of Electromagnetic Field Leakage through Loaded Apertures: A Numerical Study","year":2005,"lang":"en","type":"article","venue":"Electromagnetics","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resistive touchscreen; Finite-difference time-domain method; Electromagnetic field; Leakage (economics); Aperture (computer memory); Reduction (mathematics); Transmission line; Acoustics; Electromagnetic compatibility; Near and far field; Optics; Computer science; Physics; Electronic engineering; Mathematics; Telecommunications; Engineering; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002921431,0.0001888181,0.0003765774,0.0002363834,0.0002087401,0.00047921,0.0003699825,0.000650958,0.001170887],"category_scores_gemma":[0.001247247,0.0001453243,0.0002685297,0.0002628741,0.0005296688,0.0004925268,0.000226254,0.0001760918,0.0001961007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228822,"about_ca_system_score_gemma":0.000198892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000740338,"about_ca_topic_score_gemma":0.000486422,"domain_scores_codex":[0.9998931,0.00002507765,0.000004828049,0.00001247242,0.0000519606,0.00001247659],"domain_scores_gemma":[0.9996709,0.0001808482,0.00004741831,0.00003909718,0.00004862378,0.00001317683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001748706,0.0001326371,0.00156059,0.0002245464,0.00002764797,0.0004452333,0.0001974953,0.845174,0.1144981,0.01297553,0.0005943539,0.02399498],"study_design_scores_gemma":[0.00001232843,0.00004689572,0.0002555049,0.000006083113,0.000004774103,0.00005914092,0.00001581767,0.991389,0.007168264,0.0004167862,0.0006195729,0.000005845042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6443748,0.000690587,0.3323581,0.0003023291,0.00005667713,0.00007741957,0.00009230559,0.000533294,0.02151457],"genre_scores_gemma":[0.9535741,0.0002072563,0.04375007,0.00002623121,0.00001120639,0.00003290043,0.00002733645,0.00003298261,0.002337795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001170887,"threshold_uncertainty_score":0.003916979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009732063858634607,"score_gpt":0.2305465297216023,"score_spread":0.2208144658629677,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}